00_Syllabus_MGMT305_Spring09.doc

Business Statistics (MGMT 305) ? Spring 2009 Business Statistics (MGMT 305) ? Spring 2009 MANAGEMENT 305 Business Statistics Spring 2009 Dr. Satish Boregowda Office: Krannert 545 Phone: 496-7910 E-mail: HYPERLINK "mailto:sboregow@purdue.edu" sboregow@purdue.edu Lectures: TTh 10:30-11:45 PM Venue: KRAN G018 TTh 12:00-1:15 PM KRAN G018 TTh 4:30-5:45 PM KRAN G018 Office Hours: MW 11:30AM-01:30 PM or by appointment Course URL: HYPERLINK "http://catalyst.mgmt.purdue.edu/" http://katalyst.mgmt.purdue.edu/ Textbook: Statistics for Business and Economics by Anderson, Sweeney, and Williams. South-Western, Thomson Learning, 10th Edition. Note on Textbook: This text is to be used as an aid to understanding the material of the course. Do not expect the lectures to mirror, page by page, the material in the text. The topics outlined in the syllabus and the order in which they will be covered might be changed depending on the progress and needs of the class. Course Objectives: This course is designed to introduce students to the techniques of statistical methods, inference, and regression models. Coverage will include the study of probability distributions such as the normal and binomial, sampling distributions, the basic statistical inference methods, analysis of variance, applied linear regression, and forecasting techniques. Upon completion of this course, students should be able to perform basic data analysis with the use of a calculator and tables, as well as computer software such as Excel and Minitab. General Comments: Contact: If you find yourself falling behind, please see your instructor. It is very important not to get confused since each lecture builds on the previous one. Course Website: It is your responsibility to check out the course website (katalyst) regularly and make sure that you are aware of important dates pertaining to the HW deadlines, Quizzes, and Exams. In the event of any emergency, please look for the announcement on the course website (katalyst). Problems: The only way you can really understand probability and statistics is by doing many problems. It is important to realize that this course is different than many others in the following respect: you may understand both the lectures and the book quite well, but not be able to do problems efficiently. Homework Policy: A large number of problems from each chapter are suggested for practice. Your proficiency in this course will improve if these problems are done regularly and in a timely fashion. A portion of these problems will be assigned as homework and graded. No late homework will be accepted. You may discuss the homework problems with classmates, but DO NOT COPY--you are expected to write your homework individually. Solutions to problems will be posted on the course web page. Exams: Exams will test both technical ability to carry out standard procedures and your understanding of important concepts. Do not expect exams to consist of homework assignments. Quizzes and exams are closed book. You are required to take all tests. Only under exceptional circumstances, when legitimate and verifiable reasons are provided, makeup tests will be given. Etiquette: Classroom etiquette requires that you come to class on time and remain until the assigned time for the class to end. Please do not leave early unless it is absolutely necessary. You are expected to attend the section in which you are enrolled. Permission is required to attend any section other than the one in which you are officially enrolled. Courtesy in the classroom is necessary for enhancement of learning. The following administrative guidelines and rules shall apply: Please turn off all cell-phones, pagers, beepers, etc. before entering the classroom. Do not read newspapers once the lecture has started. Refrain from socializing and talking with fellow students during the lecture. Anyone in violation of the basic classroom etiquette might be asked to leave the classroom. Your cooperation in complying with these rules is appreciated by the instructor and your classmates. Academic Integrity: As per University Regulations, Section III.B.2.q., dishonesty such as the use of substitutes for taking examinations, illegal cribs, plagiarism (especially quizzes, exams, and projects) and copying (during examinations) will not be tolerated. A student involved in these actions will be reported to the Office of the Dean of Students. Disciplinary measures shall vary. Students must maintain the standards of academic conduct prescribed in the following website: HYPERLINK "http://www.purdue.edu/odos/osrr/conductcode.htm" http://www.purdue.edu/odos/osrr/conductcode.htm Attendance Policy: Attendance is essential to keep up-to-date with coursework. Be familiar with University Regulations, part 2, Section VI, regarding class attendance. Please read this important document. Major medical incidences and emergencies that affect any student?s participation in the course need to be reported to the instructor as soon as possible. Extended medical absences will require documentation. Attendance will be taken and will be accounted partly for class participation portion of your final grade. NOTE: If you have to miss a class on occasion, please arrange to get class notes from a classmate. Deadlines: The Registrar's add, drop, and modify deadline dates for the spring semester is at the following website: HYPERLINK "http://www.purdue.edu/Registrar/" http://www.purdue.edu/Registrar/ . GRADING POLICY: Homework 10% Quizzes 10% Class Participation & Attendance 5% Exam #1 25% Exam #2 25% Final Exam 25% TOTAL 100% NOTE: WEIGHTED TOTAL = (0.1*HW_AVG%) + (0.1*QUIZ_AVG%) + (0.05*ATTENDANCE%) + (0.75*EXAM_AVG%) GRADING SCALE: Using the WEIGHTED TOTAL, the following University Standard Grading scales will be used: 90 ? 91.9 = A- 92 ? 96.9 = A 97 - 100 = A+ 80 ? 81.9 = B- 82 ? 86.9 = B 87 ? 89.9 = B+ 70 ? 71.9 = C- 72 ? 76.9 = C 77 ? 79.9 = C+ 60 ? 61.9 = D- 62 ? 66.9 = D 67 ? 69.9 = D+ 0 ? 59 = F NOTE: The instructor reserves the right to change and/or adjust the above-mentioned grading scales depending on the relative performance of the class. Management 305: Tentative Course Outline And Schedule Topics/Readings/Suggested Problems Lectures Cumulative Course Introduction and Descriptive Statistics (January 13th, 15th) 2 2 Introduction to Statistics: Applications Descriptive Statistics: Mean, Median, Mode, Variance, Standard Deviation, Exploratory Data Analysis Readings: Chapter 3: 3.1-3.2, 3.4 Suggested Problems: Chapter 3: 14, 16, 42 Probability Distributions (January 20th, 22nd, and 27th) 3 5 Binomial Probability Distribution Normal Distribution Readings: Chapter 5: 5.4 Chapter 6: 6.2 Suggested Problems: Chapter 5: 26, 28, 30, 32, 34, 36 Chapter 6: 10, 12, 13-16, 18, 20, 22 Sampling Distribution (January 29th, February 3rd) 2 7 Simple Random Sampling Point Estimation Sampling Distributions Sampling Distribution of a Sample Mean Sampling Distribution of a Sample Proportion Readings: Chapter 7: 7.1-7.6 Suggested Problems: Chapter 7: 13, 16, 19, 26, 32, 40 Interval Estimation (February 5th, 10th) 2 9 Confidence Interval for a Sample Mean Confidence Interval for a Sample Proportion Determining the Sample Size Readings: Chapter 8: 8.1-8.4 Suggested Problems: Chapter 8: 6, 10, 12, 15, 24, 28, 34, 38, 39 Review Session (February 12th) 1 10 EXAM #1 (February 16th - Monday) 1 11 Location: PHYS 112 and PHYS 114 Time: 8:00-10:00 PM FEBRUARY 17th ? NO CLASS Topics/Readings/Suggested Problems Lectures Cumulative Hypothesis Testing (I) (February 19th, 24th, 26th and March 3rd) 4 15 Decision Risks (Type I and Type II errors) Hypothesis Testing Steps Population Mean Tests: Standard Deviation Known Population Mean Tests: Standard Deviation Unknown Population Proportion Tests Readings: Chapter 9: 9.1-9.5 Suggested Problems: Chapter 9: 2, 6, 10, 15, 24, 26, 34, 36, 38, 44 Hypothesis Testing (II) (March 5th, 10th) 2 17 Two-Sample Tests Pooled Variance t-Test Matched Sample Readings: Chapter 10: 10.1-10.3 Suggested Problems: Chapter 10: 2, 6, 12, 18, 22, 26 MARCH 12th ? NO CLASS MARCH 17th 19th (NO CLASSES ? SPRING BREAK) Analysis of Variance (March 24th, 26th) 2 19 Introduction to ANOVA ANOVA Readings: Chapter 13: 13.1-13.2 Suggested Problems: Chapter 13: 1, 4, 6, 8 Review Session (March 31st) 1 20 APRIL 2nd ? NO CLASS ? EVENING EXAM#2 EXAM #2 (APRIL 2nd) 1 21 Location: PHYS 112 and PHYS 114 Time: 8:00-10:00 PM Topics/Readings/Suggested Problems Lectures Cumulative Simple Linear Regression (April 7th, 9th, and 14th) 3 24 Simple Linear Regression Least Squares Methods Coefficient of Determination Model Assumptions Testing for Significance Estimation and Prediction Residual Analysis Readings: Chapter 14: 14.1-14.8 Suggested Problems: Chapter 14: 4, 14, 16, 20, 24, 26, 32, 36, 40 (a,b,c), 42 (a,b,d), 46, 47 Multiple Regression (April 16th, 21th) 2 26 Multiple Regression Model Least Squares Method Multiple Coefficients of Determination Testing for Significance Estimation and Prediction Readings: Chapter 15: 15.1-15.6 Suggested Problems: Chapter 15: 2, 6, 12, 18, 22-24, 28-30 Forecasting (April 23rd, 28th) 2 28 Time Series Models Moving Average, Exponential Smoothing Trend Projection Readings: Chapter 18: 18.1-18.3 Suggested Problems: Chapter 18: 1, 2, 4, 10, 12, 18 Review Session (April 30th) 1 29 FINAL EXAMINATION Date, time, and place of the MGMT 305 final examination will be announced. MGMT 305 SPRING 2009 QUIZZES AND ASSIGNMENTS QUIZ SCHEDULE Quiz 1 February 3 Quiz 2 February 12 Quiz 3 March 10 Quiz 4 March 26 Quiz 5 April 23 Best four out of five quizzes will be counted. No make-up quizzes. Closed-book. Held in the first 20 minutes of class. ASSIGNMENT SCHEDULE Number Assigned Date Due date 1 January 27 February 3 2 February 5 February 12 3 February 26 March 10 4 March 10 March 26 5 April 16 April 23 Best four out of five assignments will be counted. No late assignments. No copying. Copied work will be penalized. Wish you a Nice Semester and Good Luck! PAGE 6 PAGE 2